update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7101
-- Accuracy: 0.7538
+- Loss: 0.5766
+- Accuracy: 0.8308
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 1.5e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -45,32 +45,27 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 20
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 1.1448          | 0.5769   |
-| 1.0433        | 2.0   | 14   | 1.0463          | 0.6077   |
-| 0.9904        | 3.0   | 21   | 1.0912          | 0.5923   |
-| 0.9904        | 4.0   | 28   | 1.0639          | 0.5769   |
-| 0.8697        | 5.0   | 35   | 1.0283          | 0.6      |
-| 0.7873        | 6.0   | 42   | 0.8870          | 0.7077   |
-| 0.7873        | 7.0   | 49   | 0.8815          | 0.6538   |
-| 0.7124        | 8.0   | 56   | 0.8828          | 0.6538   |
-| 0.666         | 9.0   | 63   | 0.8701          | 0.6846   |
-| 0.6376        | 10.0  | 70   | 0.8704          | 0.6692   |
-| 0.6376        | 11.0  | 77   | 0.8934          | 0.7077   |
-| 0.6552        | 12.0  | 84   | 0.8678          | 0.6692   |
-| 0.5827        | 13.0  | 91   | 0.8471          | 0.7      |
-| 0.5827        | 14.0  | 98   | 0.7986          | 0.7154   |
-| 0.5557        | 15.0  | 105  | 0.7614          | 0.7462   |
-| 0.5255        | 16.0  | 112  | 0.7847          | 0.7231   |
-| 0.5255        | 17.0  | 119  | 0.7917          | 0.7154   |
-| 0.5129        | 18.0  | 126  | 0.7101          | 0.7538   |
-| 0.4621        | 19.0  | 133  | 0.7437          | 0.7385   |
-| 0.4552        | 20.0  | 140  | 0.7404          | 0.7308   |
+| No log        | 1.0   | 7    | 0.7247          | 0.7462   |
+| No log        | 2.0   | 14   | 0.6844          | 0.7615   |
+| 0.4279        | 3.0   | 21   | 0.7254          | 0.7462   |
+| 0.4279        | 4.0   | 28   | 0.5891          | 0.8      |
+| 0.4279        | 5.0   | 35   | 0.6991          | 0.7462   |
+| 0.4478        | 6.0   | 42   | 0.6579          | 0.7615   |
+| 0.4478        | 7.0   | 49   | 0.6164          | 0.8      |
+| 0.4478        | 8.0   | 56   | 0.6191          | 0.8077   |
+| 0.4194        | 9.0   | 63   | 0.5766          | 0.8308   |
+| 0.4194        | 10.0  | 70   | 0.5704          | 0.8154   |
+| 0.4194        | 11.0  | 77   | 0.6518          | 0.8      |
+| 0.3833        | 12.0  | 84   | 0.6190          | 0.8077   |
+| 0.3833        | 13.0  | 91   | 0.5693          | 0.8231   |
+| 0.3833        | 14.0  | 98   | 0.5628          | 0.8231   |
+| 0.3607        | 15.0  | 105  | 0.5741          | 0.8154   |
 
 
 ### Framework versions